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Record W4409346481 · doi:10.17844/jphpi.v28i3.60270

Potensi aktivitas antioksidan ekstrak spons laut Stylissa carteri

2025· article· id· W4409346481 on OpenAlexaff
Murad Alvian K Adewal, Asadatun Abdullah, NEVIATY PUTRI ZAMANI, Dondy Arafat, Inna Puspa Ayu, Beginer Subhan

Bibliographic record

VenueJurnal Pengolahan Hasil Perikanan Indonesia · 2025
Typearticle
Languageid
FieldBiochemistry, Genetics and Molecular Biology
TopicMarine Sponges and Natural Products
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicineBiologyMedicine

Abstract

fetched live from OpenAlex

Spons laut Stylissa carteri berperan penting karena merupakan salah satu biota penyusun ekosistem pesisir dan laut, terutama pada ekosistem terumbu karang. Spons laut yang makin meningkat pemanfaatan senyawa bioaktifnya, dikhawatirkan dapat mengurangi populasi spons laut secara signifikan. Upaya pencegahannya, yaitu dengan budi daya spons laut untuk pemanfaatan yang berkelanjutan. Penelitian ini bertujuan untuk menentukan aktivitas antioksidan spons Stylissa carteri yang ditransplantasi dan yang hidup alami di alam. Penelitian ini dilakukan di Pulau Pramuka dengan metode kombinasi eksplan spons. Perlakuan transplantasi, yaitu 1: Stylissa carteri (SO), 2: S. carteri dan Aaptos suberitoides (SAP) dan 3: S. carteri, A. suberitoides dan karang keras Acropora (SAC). Pengujian aktivitas antioksidan dengan tiga kali pengulangan pada tiga spons S. carteri hasil transplantasi dan yang hidup alami di alam (SA) menggunakan metode DPPH (1,1-Difenil-2-Pikrilhidrazil). Hasil menunjukkan keempat sumber sampel mengandung aktivitas antioksidan yang kuat, yaitu SO memiliki nilai IC50 86,22±23,6 μg/mL, SAP 86,58±30,7 μg/mL, SAC 86,10±23,4 μg/mL, dan yang hidup alami SA 54,27±16,9 μg/mL. Spons laut jenis S. carteri yang ditransplantasi memiliki kemampuan aktivitas antioksidan yang kuat dan dapat menjadi solusi alternatif dalam aspek ketersediaan bahan baku untuk pengembangan produk farmasi yang potensial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.251
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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